Editions

LINQ's projecting Max operator has a trap for the unwary when used with value types. Understand what goes wrong, and how to avoid it.

If you use Azure Functions on a regular basis, you'll likely have grappled with the challenge of testing them. In the final post in this series, we show how to ensure specs written using Corvus.Testing can run as part of your build pipeline.

If you use Azure Functions on a regular basis, you'll likely have grappled with the challenge of testing them. In the fourth of this series of posts, we look at how configuration can be supplied from your tests to the functions apps being tested.

A simple mental model for making sense of the AI-assisted coding landscape: four layers, four decisions.

Shift from prompt engineering to AI programming by applying rigorous software engineering principles to your LLM integrations.

What is RAG? Learn how RAG combines retrieval, augmentation & generation to ground GenAI responses in your data while reducing hallucinations & improving accuracy.

What is RAG? Learn how RAG combines retrieval, augmentation & generation to ground GenAI responses in your data while reducing hallucinations & improving accuracy.

The Data Product Canvas fuses the Business Model Canvas with Data Mesh's 'data as a product' principle, combining visual strategic collaboration with product-minded data ownership.

See the Data Product Canvas in action with a real-world scenario. Follow along as we work through each building block to design a high-impact, feasible data product for a national garden center chain facing revenue challenges.

How to combine ASP.NET Core, Razor, and HTMX to power interactive Chart.js visualisations.

Learn how accessibility-aware API design creates a great experience for all developers, not just those with accessibility needs.

A short rundown of why you need the ForwardedHeadersMiddleware when using Azure Container Apps to host an ASP.NET Core MVC app requiring authentication

Ray, a Year 10 student, spent a week at endjin doing work experience.

Liam joined endjin as part of the Software Engineering Apprenticeship 2021 cohort. In this post he looks back on his time at endjin before moving on.

Eli joined endjin as part of the Software Engineering Apprenticeship 2021 cohort. In this post she reflects on her first two years.

The Data Product Canvas fuses the Business Model Canvas with Data Mesh's 'data as a product' principle, combining visual strategic collaboration with product-minded data ownership.

See the Data Product Canvas in action with a real-world scenario. Follow along as we work through each building block to design a high-impact, feasible data product for a national garden center chain facing revenue challenges.

The Data Product Canvas has nine building blocks, best completed right-to-left starting with Audience and Actionable Insight, to keep data products purpose-driven and user-centred.

In this series of posts, we look at all the places where you can integrate Power Query as part of your data solutions. Here we look at Power BI.

In this series of posts, we look at all the places where you can integrate Power Query as part of your data solutions. Here we look at Microsoft 365.

Learn to configure AAD or MSA 2FA profiles for UI automation testing with Time-based One-Time Passwords.

If you use Azure Functions on a regular basis, you'll likely have grappled with the challenge of testing them. In the final post in this series, we show how to ensure specs written using Corvus.Testing can run as part of your build pipeline.

If you use Azure Functions on a regular basis, you'll likely have grappled with the challenge of testing them. In the fourth of this series of posts, we look at how configuration can be supplied from your tests to the functions apps being tested.

If you use Azure Functions on a regular basis, you'll likely have grappled with the challenge of testing them. In the third of a series of posts, we look at using classes in the Corvus.Testing library to run functions apps via scenario and feature hooks.

The queue-of-work pattern enables massive parallelism for API ingestion by breaking large jobs into thousands of independent work items processed by concurrent workers. This approach reduced data ingestion time for our use case from 15 hours to under 2 hours while providing automatic retry handling and fault tolerance at a fraction of the cost of traditional orchestration tools.

The queue-of-work pattern enables massive parallelism for API ingestion by breaking large jobs into thousands of independent work items processed by concurrent workers. This approach reduced data ingestion time for our use case from 15 hours to under 2 hours while providing automatic retry handling and fault tolerance at a fraction of the cost of traditional orchestration tools.

This post describes a pattern for batch processing triggered pipeline runs in Azure Synapse

This post describes a pattern for reliably refreshing Power BI semantic models from Azure Data Factory or Azure Synapse Pipelines.

What exactly is a Data Lakehouse? This blog gives a general introduction to their history, functionality, and what they might mean for you!

Serverless data architectures enable leaner data insights and operations. How do you reap the rewards while avoiding the potential pitfalls?

New Azure Synapse Analytics service offers SQL Serverless for on-demand data lake queries. We tested its potential as a Data Lake Analytics replacement.

The queue-of-work pattern enables massive parallelism for API ingestion by breaking large jobs into thousands of independent work items processed by concurrent workers. This approach reduced data ingestion time for our use case from 15 hours to under 2 hours while providing automatic retry handling and fault tolerance at a fraction of the cost of traditional orchestration tools.

Polars now ships inside Microsoft Fabric by default. Here's how to use it alongside Fabric's other analytics tools and what that means for your data workflows.

Unlock Python Polars with this hands-on guide featuring practical code examples for data loading, cleaning, transformation, aggregation, and advanced operations that you can apply to your own data analysis projects.

FabCon is a conference dedicated to everything Microsoft Fabric. Day 3's sessions included migration, Databricks, Spark optimisation, and more.

FabCon is a conference dedicated to everything Microsoft Fabric. Day 2 featured deep dives into OneLake, Maps in Fabric, and multi-agent AI systems.

FabCon is a conference dedicated to everything Microsoft Fabric. Day 1 was mostly focused around the hundreds of new feature announcements.

After years away, I returned to work in the UK. Here's how remote flexibility protected my mental health and made that transition possible!

Ray, a Year 10 student, spent a week at endjin doing work experience.

Liam joined endjin as part of the Software Engineering Apprenticeship 2021 cohort. In this post he looks back on his time at endjin before moving on.

The Data Product Canvas fuses the Business Model Canvas with Data Mesh's 'data as a product' principle, combining visual strategic collaboration with product-minded data ownership.

See the Data Product Canvas in action with a real-world scenario. Follow along as we work through each building block to design a high-impact, feasible data product for a national garden center chain facing revenue challenges.

The Data Product Canvas has nine building blocks, best completed right-to-left starting with Audience and Actionable Insight, to keep data products purpose-driven and user-centred.

The queue-of-work pattern enables massive parallelism for API ingestion by breaking large jobs into thousands of independent work items processed by concurrent workers. This approach reduced data ingestion time for our use case from 15 hours to under 2 hours while providing automatic retry handling and fault tolerance at a fraction of the cost of traditional orchestration tools.

Polars now ships inside Microsoft Fabric by default. Here's how to use it alongside Fabric's other analytics tools and what that means for your data workflows.

Unlock Python Polars with this hands-on guide featuring practical code examples for data loading, cleaning, transformation, aggregation, and advanced operations that you can apply to your own data analysis projects.

This is follow guide to designing a mobile navigation in Power BI, covering form, icons, states, actions, with a view to enhancing report design & UI.

What exactly is a Data Lakehouse? This blog gives a general introduction to their history, functionality, and what they might mean for you!

Azure Databricks Notebooks combine live code in Python, SQL, Scala, or R with visualisations and markdown. Here's how to set them up, attach clusters, manage libraries, and integrate them into ADF/Synapse pipelines.

Microsoft Fabric unifies data & analytics, building on Azure Synapse Analytics for improved data-level interoperability. Explore its offerings & pros/cons.

Learn how to access multi-select choice column choice labels from Azure Synapse Link for Dataverse using PySpark or SQL.

Learn how to access the choice labels from Azure Synapse Link for Dataverse using T-SQL through SQL Serverless and by using Spark SQL in a Synapse Notebook.

Learn how to access the choice labels from Azure Synapse Link for Dataverse using PySpark.

A troubleshooting journey through Microsoft Entra ID that reveals the subtle but critical distinction between App Registration ownership and Service Principal ownership - and why it matters for least-privilege automation.

Running VS Code Dev Containers on Windows? Clone repos inside WSL filesystem to eliminate I/O bottlenecks and boost performance dramatically.

Polyglot Notebooks' PowerShell support enhances IT Ops with robust, repeatable processes via 'executable documentation'.

Polars now ships inside Microsoft Fabric by default. Here's how to use it alongside Fabric's other analytics tools and what that means for your data workflows.

Unlock Python Polars with this hands-on guide featuring practical code examples for data loading, cleaning, transformation, aggregation, and advanced operations that you can apply to your own data analysis projects.

Polars gets its speed from a strict type system, lazy evaluation, and automatic parallelism. Here's how each piece works under the hood.

A simple mental model for making sense of the AI-assisted coding landscape: four layers, four decisions.

If you use Azure Functions on a regular basis, you'll likely have grappled with the challenge of testing them. In the final post in this series, we show how to ensure specs written using Corvus.Testing can run as part of your build pipeline.

If you use Azure Functions on a regular basis, you'll likely have grappled with the challenge of testing them. In the fourth of this series of posts, we look at how configuration can be supplied from your tests to the functions apps being tested.

The Data Product Canvas fuses the Business Model Canvas with Data Mesh's 'data as a product' principle, combining visual strategic collaboration with product-minded data ownership.

See the Data Product Canvas in action with a real-world scenario. Follow along as we work through each building block to design a high-impact, feasible data product for a national garden center chain facing revenue challenges.

The Data Product Canvas has nine building blocks, best completed right-to-left starting with Audience and Actionable Insight, to keep data products purpose-driven and user-centred.

Wishing Azure Synapse Analytics had support for SQL notebooks? Fear not, it's easy to take advantage rich interactive notebooks for SQL Pools and SQL on Demand.

Tracking down unexpected allocations in a high-performance .NET parsing library.

I was recently invited on to Microsoft Mechanics to talk about the new on-demand SQL Serverless offering within Azure Synapse. If you have been following along with my previous blog posts you will know that we've been hard at work applying Azure Synapse against real customer workloads. In the video I take you through the service by solving a real-world IoT problem for one of our telco customers.

What is RAG? Learn how RAG combines retrieval, augmentation & generation to ground GenAI responses in your data while reducing hallucinations & improving accuracy.

What exactly is a Data Lakehouse? This blog gives a general introduction to their history, functionality, and what they might mean for you!

As data and AI become the engine of business change, we need to learn the lessons of the past to avoid expensive failures.

The queue-of-work pattern enables massive parallelism for API ingestion by breaking large jobs into thousands of independent work items processed by concurrent workers. This approach reduced data ingestion time for our use case from 15 hours to under 2 hours while providing automatic retry handling and fault tolerance at a fraction of the cost of traditional orchestration tools.

Data quality issues are one of the biggest silent killers of analytics initiatives. This post explores how to build data quality into Microsoft Fabric from the ground up.

Discover the top key features of notebooks in Microsoft Fabric.

We have a wide range of computational mechanisms at our disposal, some of which emerged thanks to recent advances in AI. In this post, we look at the kinds of workloads that can take advantage of these.

Thanks in part to recent advances in AI, we have a range of computational mechanisms at our disposal. However, certain universal truths apply to all of them.

AI's current hype cycle has driven massive hardware investment. Even if AI disappoints, those hardware capabilities remain. What else can we do with them?

Ix.NET 7.0.0 is now available. Because .NET 10.0 now includes LINQ for IAsyncEnumerable, Ix.NET's System.Linq.Async has had to step back. This post explains what has changed and why.

Rx.NET 6.1 is now available, adding some useful new features.

Ray, a Year 10 student, spent a week at endjin doing work experience.

Open-source software has become an essential part of many organisation's software supply chain, however, this poses challenges with license compliance and security assurance.

When implementing OpenChain, understanding the specification will help guide your organisation to having processes in place to review and manage open-source software

The key risks associated with open-source software, from whether you use it minimally, to using it throughout all your systems.

Discover the top key features of notebooks in Microsoft Fabric.

This post describes a pattern for reliably refreshing Power BI semantic models from Azure Data Factory or Azure Synapse Pipelines.

This post describes a pattern for reliably refreshing Power BI semantic models from Microsoft Fabric Pipelines.

The queue-of-work pattern enables massive parallelism for API ingestion by breaking large jobs into thousands of independent work items processed by concurrent workers. This approach reduced data ingestion time for our use case from 15 hours to under 2 hours while providing automatic retry handling and fault tolerance at a fraction of the cost of traditional orchestration tools.

Polars now ships inside Microsoft Fabric by default. Here's how to use it alongside Fabric's other analytics tools and what that means for your data workflows.

Unlock Python Polars with this hands-on guide featuring practical code examples for data loading, cleaning, transformation, aggregation, and advanced operations that you can apply to your own data analysis projects.

A troubleshooting journey through Microsoft Entra ID that reveals the subtle but critical distinction between App Registration ownership and Service Principal ownership - and why it matters for least-privilege automation.

No-code/Low-code democratizes software development with little to no coding skills needed. But how do you evaluate if software DIY is the right choice for you?

Open-source software has become an essential part of many organisation's software supply chain, however, this poses challenges with license compliance and security assurance.

Snowflake is a cloud native data warehouse platform, that enabled data engineering, data science, data lakes, data sharing and data warehousing. Endjin are very excited to announce our partnership.

Integrate Snowflake into your Azure Data Factory pipelines using custom Azure Functions. Learn how to load data and run queries in our detailed step-by-step guide.

Explore the lack of a native Azure Data Factory connector for Snowflake and discover alternatives for integration between these popular platforms.

This post describes an approach to write data to SharePoint from Synapse Notebooks.

This post describes an approach to copy files and data from SharePoint into Azure using Synapse Notebooks.

Once you've thoroughly tested your code against the local Spark service in your dev container, you'll want to run it in a real Spark cluster. This posts shows how to deploy such code to Microsoft Fabric.

Explore monetizing APIs with our guide. We offer strategies, videos, and code via Azure API Management to fast-track your business model.

Microsoft recently shot a video interviewing endjin co-founder, Howard van Rooijen, and Director of Engineering, James Broome, about how Microsoft has helped endjin grow over the past decade. This posts the top 10 ways in which Microsoft helped - from providing access to valuable software and services, to opening up sales channels, to helping to navigate the minefield of UK Financial Services regulations around cloud adoption.

In this post we discuss the characteristics of a great FinTech startup, and the importance of the API Economy to innovation in Financial Services.

The Data Product Canvas fuses the Business Model Canvas with Data Mesh's 'data as a product' principle, combining visual strategic collaboration with product-minded data ownership.

See the Data Product Canvas in action with a real-world scenario. Follow along as we work through each building block to design a high-impact, feasible data product for a national garden center chain facing revenue challenges.

The Data Product Canvas has nine building blocks, best completed right-to-left starting with Audience and Actionable Insight, to keep data products purpose-driven and user-centred.

In Paul Waller's final, and posthumously published blog post, he takes you through a creative walk-through of the Titanic Power BI Report he created with Barry Smart.

This is follow guide to designing a mobile navigation in Power BI, covering form, icons, states, actions, with a view to enhancing report design & UI.

Explore integrating icons, pictograms and images into Power BI in the optimal way to enhance the user experience and minimise effort required to build and maintain reports.

In Paul Waller's final, and posthumously published blog post, he takes you through a creative walk-through of the Titanic Power BI Report he created with Barry Smart.

This is follow guide to designing a mobile navigation in Power BI, covering form, icons, states, actions, with a view to enhancing report design & UI.

Explore integrating icons, pictograms and images into Power BI in the optimal way to enhance the user experience and minimise effort required to build and maintain reports.